Yang Ding

44 papers receiving 1.5k citations

Peers

Yang Ding
Comparison fields: 5 of 91
  • Condensed Matter Physics 510
  • Computational Mechanics 338
  • Biomedical Engineering 690
  • Ocean Engineering 227
  • Aerospace Engineering 350
Replace T. Miloh with:
T. Miloh Israel
Takashi IKEDA Japan
Petr Denissenko United Kingdom
Mokhtar Adda-Bedia France
Lisa Fauci United States
Hepeng Zhang China
Paul B. Umbanhowar United States
Eva Kanso United States
Christophe Eloy France
Yang Ding relative to T. Miloh Israel T. Miloh's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yang Ding

Since Specialization
Citations

This map shows the geographic impact of Yang Ding's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yang Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Ding more than expected).

Fields of papers citing papers by Yang Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang Ding. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yang Ding. The network helps show where Yang Ding may publish in the future.

Co-authors

The 25 scholars most cited alongside Yang Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yang Ding Line = papers co-authored together Yang Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009334
2 2011153
3 2011117
4 202085
5 201474
6 201873
7 201169
8 200364
9 201364
10 201956
11 202255
12 199953
13 201253
14 201236
15 201330
16 201326
17 201126
18 201525
19 202124
20 201919

About Yang Ding

Yang Ding is a scholar working on Biomedical Engineering, Condensed Matter Physics, Aerospace Engineering, Ocean Engineering and Computational Mechanics, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Micro and Nano Robotics (19 papers), Biomimetic flight and propulsion mechanisms (15 papers), Robotic Locomotion and Control (15 papers), Underwater Vehicles and Communication Systems (7 papers), Granular flow and fluidized beds (5 papers), Microfluidic and Bio-sensing Technologies (5 papers), Modular Robots and Swarm Intelligence (5 papers) and Soft Robotics and Applications (4 papers). The work is most often cited by research in Condensed Matter Physics (510 citations), Computational Mechanics (338 citations), Biomedical Engineering (690 citations), Ocean Engineering (227 citations) and Aerospace Engineering (350 citations). Yang Ding has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Daniel I. Goldman, Ryan D. Maladen, Chen Li, Paul B. Umbanhowar, Nick Gravish, Sarah Sharpe, Eva Kanso, D. De Figueiredo, Michel Willem and On Shun Pak. Their work appears in journals such as Physics of Fluids, Proceedings of the National Academy of Sciences, Physical Review Letters, PLoS Computational Biology and Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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